Competitor Blog Analysis & Idea Generator

Automatically analyze top-ranking competitor blogs from the past week and generate new blog ideas for your website. This AI workflow researches competitor content, formats keyword data into reports, and suggests fresh, SEO-friendly blog topics tailored to your niche.

Flows

How the AI Flow works

Collect Keywords & Website Data.: Gathers input keywords and site information needed for research.
Format Keywords & Prepare Report.: AI processes and structures the provided keywords into a well-organized markdown report.
Research Competitor Blogs.: AI agent searches Google for top competitor blog posts published within the last 7 days, using dynamic date filtering.
Generate Blog Ideas.: AI analyzes competitor blog URLs and creates a list of five tailored blog ideas, each with a main keyword and suggested title.
Present Results.: Displays the competitor analysis and new blog suggestions in an easy-to-read format.

Prompts used in this flow

AI Agent: Competitor Blog Finder

Agent with a prompt to find blog titles from competitor websites uploaded in the past 7 days, using Google search with a dynamic date prefix.

Role: Professional researcher
Goal: find the blog titles that were uploaded to these websites in the past 7 days and give the URLs in a nice format. WHEN SEARCHING IN GOOGLE, PREFIX "after:[YYYY-MM-DD]" THE DATE SHOULD BE 1 WEEK BEFORE TODAYS DATE. current date is given in the context.



Example of how you should search on google:xa0

"AI agents tutorial after:2025-01-01"

AI Agent: Keyword Formatter

Agent with a prompt to create a markdown table of all provided keyword data.

Role: Keyword Formatter and reporter
Backstory: Expert formatter of keywords
Goal: to create a report table of markdown, from the data that is given to create a markdown table of all the data that is given to you with the keywords and all data related to the keyword

Sequential Task: Format Keywords

Task prompt instructing to format keywords in a markdown table.

format the keywords in a nice markdown table

Sequential Task: Find Competitor Blogs from Last 7 Days

Task prompt instructing to find blogs uploaded by competitors in the past 7 days using a dynamic Google date prefix.

BASED ON THE keywords FIND OUT WHAT BLOGS [YOUR WEBSITE] COMPETITORS UPLOADED ONLY IN THE PAST 7 DAYS TO DO THIS USE A DYNAMIC PREFIX WHEN SEARCHING IN GOOGLE, PREFIX "after:[YYYY-MM-DD]" THE DATE SHOULD BE 1 WEEK BEFORE TODAYS DATE AND PRESENT THE BLOG URLs

Example of how you should search on google:xa0

"AI agents tutorial after:2025-01-01"

Sequential Task: Generate Blog Ideas

Task prompt instructing to generate 5 blog ideas based on input links, with main keyword and title.

generate 5 blog ideas based on the links given in the input with main keyword and title for us to write.

Prompt Template: Suggest Relevant Keywords

Prompt template suggesting relevant keywords based on the content and features of the website.

Based on the content and features of [YOUR WEBSITE], here are some relevant keywords:

{input}

Components used in this flow

Below is a complete list of all components used in this flow to achieve its functionality. Components are the building blocks of every AI Flow. They allow you to create complex interactions and automate tasks by connecting various functionalities. Each component serves a specific purpose, such as handling user input, processing data, or integrating with external services.

ChatInput

The Chat Input component in FlowHunt initiates user interactions by capturing messages from the Playground. It serves as the starting point for flows, enabling the workflow to process both text and file-based inputs.

See ChatInput

Prompt Component in FlowHunt

Learn how FlowHunt's Prompt component lets you define your AI bot’s role and behavior, ensuring relevant, personalized responses. Customize prompts and templates for effective, context-aware chatbot flows.

See Prompt Component in FlowHunt

LLM Anthropic AI

FlowHunt supports dozens of AI models, including Claude models by Anthropic. Learn how to use Claude in your AI tools and chatbots with customizable settings for tailored responses.

See LLM Anthropic AI

AI Agent

The AI Agent component in FlowHunt empowers your workflows with autonomous decision-making and tool-using capabilities. It leverages large language models and connects to various tools to solve tasks, follow goals, and provide intelligent responses. Ideal for building advanced automations and interactive AI solutions.

See AI Agent

URL Retriever

Unlock web content in your workflows with the URL Retriever component. Effortlessly extract and process the text and metadata from any list of URLs—including web articles, documents, and more. Supports advanced options like OCR for images, selective metadata extraction, and customizable caching, making it ideal for building knowledge-rich AI flows and automations.

See URL Retriever

GoogleSearch Component

FlowHunt's GoogleSearch component enhances chatbot accuracy using Retrieval-Augmented Generation (RAG) to access up-to-date knowledge from Google. Control results with options like language, country, and query prefixes for precise and relevant outputs.

See GoogleSearch Component

Sequential Task

The Sequential Task component organizes workflow steps by defining a clear task description, expected output, and assigning an agent to execute the task. Ideal for structured, multi-step processes, it ensures each step is well-documented and assigned, supporting complex automations in FlowHunt.

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Sequential Crew

Experience organized workflow automation with the Sequential Crew component in FlowHunt. This component allows you to group multiple agent tasks and execute them one after another, making it ideal for processes that require clear, step-by-step task processing.

See Sequential Crew

Chat Output

Discover the Chat Output component in FlowHunt—finalize chatbot responses with flexible, multi-part outputs. Essential for seamless flow completion and creating advanced, interactive AI chatbots.

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Message Widget

The Message Widget component displays custom messages within your workflow. Ideal for welcoming users, providing instructions, or showing any important information, it supports Markdown formatting and can be set to appear only once per session.

See Message Widget

Flow description

Purpose and benefits

This workflow is designed to automate the process of analyzing top-ranking competitor blogs and generating new blog post ideas tailored to your business’s focus keywords. By leveraging AI agents, live search, and automated formatting, the workflow streamlines a sequence that would otherwise require manual research, content analysis, and creative brainstorming.

Step-by-Step Workflow Process

1. User Engagement and Input Collection

Welcome and Input Prompt: As soon as a user opens the chat, they are greeted with a message asking them to enter keywords that their business or blog should focus on.
User Input Capture: The system collects these keywords via a chat input interface, which serves as the foundation for all subsequent research and ideation.

2. Keyword Formatting and Reporting

Prompt Preparation: The entered keywords are injected into a dynamic prompt template that contextualizes them for further processing.
AI Formatting Agent: An AI agent, powered by Anthropic’s large language model (e.g., Claude 3.5 Sonnet), receives the prompt and is tasked with formatting the keywords into a well-structured markdown table. This table is intended to provide an organized overview of the keywords and any related metadata.

3. Competitor Blog Discovery (Last 7 Days)

Current Date Retrieval: The system uses a date tool to fetch the current date, ensuring searches are always up-to-date.
Google Search Integration: Using the provided keywords, the system constructs Google search queries tailored to surface competitor blog posts published within the last 7 days (using the after:[YYYY-MM-DD] search operator).
URL Content Extraction: For each search result, the system retrieves content from the resulting URLs to gather data for analysis.

4. AI-Driven Research Agents

Professional Research Agent: An AI agent acts as a skilled researcher, equipped with tools for web search, date awareness, and content extraction. Its goal is to:
- Find recent competitor blog post titles.
- Collect URLs and format the findings in a user-friendly way.
Multi-Agent Collaboration: The workflow is designed so that multiple agents can collaborate and pass data between sequential tasks for more robust automation and coverage.

5. Blog Idea Generation

Ideation Agent: Another AI agent uses the collected links and data to generate 5 unique blog post ideas. Each idea includes a main keyword and a suggested title, tailored to differentiate your content from competitors while aligning with your focus.

6. Output Presentation

Sequential Task and Crew Management: The workflow employs sequential task management, meaning that agents’ outputs feed directly into the next step in the chain, automating the entire research-to-ideation pipeline.
Final Outputs: Results are displayed in chat outputs, including the formatted keyword table, a list of competitor blogs published in the last week, and a curated list of new blog post ideas.

Visual Workflow Structure

Step	Component	Functionality
1	Chat Input/Welcome Message	Collects focus keywords from user
2	Prompt Template & AI Formatter	Formats and presents keywords in markdown table
3	Current Date Tool	Ensures up-to-date time context for searches
4	Google Search & URL Retriever	Finds competitor posts from last 7 days, extracts content
5	Research AI Agent	Identifies recent competitor blog titles and URLs
6	Ideation AI Agent	Suggests 5 blog ideas with main keywords and titles
7	Sequential Crew	Manages stepwise execution and data flow
8	Chat Output	Presents all results to the user

Why This Workflow is Useful

Scalability: By automating labor-intensive research and ideation, this workflow can handle multiple keyword sets, search iterations, and content analyses without requiring manual intervention.
Freshness and Relevance: Ensuring that only the latest competitor blogs (from the past 7 days) are considered keeps your ideation pipeline relevant and competitive.
Structured Reporting: Automated formatting and markdown output provide immediate, organized insight for marketing teams or content creators.
Reduced Manual Effort: The process eliminates the need to manually comb through search results, extract blog ideas, and format reports, saving hours per research cycle.
Creative Jumpstart: By analyzing what’s trending among competitors and instantly generating new ideas, your content team can stay ahead of industry trends and maintain a fresh blog pipeline.

Who Can Benefit

Content Marketers: Quickly identify competitive topics and fill content gaps.
SEO Specialists: Keep keyword targeting aligned with current industry trends.
Bloggers & Small Businesses: Efficiently plan content calendars with minimal research load.

Potential Customizations

Modify search timeframes (e.g., last month instead of last week)
Adjust the number of blog ideas generated
Include additional data points in the markdown report (e.g., estimated traffic, social shares)
Integrate with publishing platforms for end-to-end automation

With this workflow, you can consistently generate relevant, data-backed blog ideas based on real-time competitor activity, all with minimal manual effort and maximum automation.

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